Jason T. Newsom PhD

Professor, Department of Psychology, Portland State University

 

 

 

 

Main Page

 

Current Courses

Univariate Quant

Mulitple Regression

Categorical Data Analysis

Structural Equation Modeling

Multilevel Regression

Psychological Measurement

Adult Development and Aging

 

Past Courses

Stats Notes

 

Resources

SEM References

SEM Books

 

Other

LSEM Book

LDA Book

Department of Psychology

 

 

 

 

 

 

Psy 522/622 Multiple Regression and Multivariate Quantitative Methods

Syllabus

Readings

Homework

Homework Articles

Exam Review Sheet

Data Sets

Lab Website

 

Handouts & Overheads

Correlation Example: SPSS and R

Overhead: Simple Regression Line and Residuals

Simple Regression Example: SPSS and R

Overhead: Correlation Limitations

Overhead: Venn diagrams

Overhead: Third Variable Diagrams

Multiple Regression Example: SPSS and R

3d Regression Figures in SPSS and R (optiona)

Matrix Regression (optional)

Hierarchical Regression Example

Good Example of a Hierarchical Table

Partial and Semipartial Correlation Example

Suppression

Model Building Procedures

ANOVA and Regression Equivalence

ANOVA and Regression Equivalence Example: SPSS and R

Analysis of Covariance (ANCOVA)

Analysis of Covariance (ANCOVA) Example: SPSS and R

Creating Indicator Variables for Four Categories: SPSS and R

Overview of Regression Assumptions and Diagnostics

Diagnostics Cutoff Summary Table

SPSS Regression Diagnostics Example (with tweaked data)

More Diagnostic Examples in SPSS

Diagnostics Examples in R

Overhead: Diagnostics Figures

Remedies for Assumption Violations and Multicollinearity

Overhead: Transformation Figures

Overhead: Curvilinear Figures

Curvilinear Regression Example: SPSS and R

Overhead: Interactions with Regression Analysis

Simple Slopes

Regression Moderation Examples: SPSS and R

Testing Mediation with Regression Analysis

Testing Mediation with Regression Analysis Examples: SPSS and R

Overhead: More Complex Mediational Models

Longitudinal Regression Approaches

Longitudinal Regression Examples

The Concept of Change: Difference scores or statistical control? What should I use to predict change over two time points? (optional)

2 X 2 Contingency Chi-square

Logistic Regression

Simple Logistic Regression Examples: SPSS and R

Multiple Logistic Regression and Model Fit

Multiple Logistic Regression Example: SPSS and R

Link Functions and the Generalized Linear Model with SPSS and R Probit Example

Regression Models for Ordinal Dependent Variables

Ordinal Logistic and Probit Examples: SPSS and R

Overhead: OLS Performance with Ordinal Data (optional)

Multinomial Regression Models

Regression Models for Count Data and SPSS and R Examples

Multivariate Analysis of Variance

MANOVA Example: SPSS and R

Principal Components Analysis

Principal Components Analysis Example: SPSS and R (optional)

Multivariate Analyses

Sample size and Power for Regression

Missing Data and Regression

Multiple Imputation Example with Regression Analysis (optional)

Further Readings

 

 

 

Links

Jason's SPSS Macros for Interactions and Simple effects

UCLA's statistical computing annotated regression outputs (SPSS)

David Kenny's site (click on "mediation")

Automatic calculator for calculating significance of indirect effects
(compliments of Preacher & Leonardelli at KU and U of Toronto)

David Gerbing's lessR manual

David Gerbing's lessR site

John Fox's Home Page

Fox's R car package

Oscar Torres-Reyna's Regression with R tutorial

Brief summary of some R regression related functions

Process Macro for Mediation and Moderation Tests (Andrew Hayes)
Carl Falk's mediation page (with R code links)

Mediation package for R

R for SAS and SPSS Users by Rob Muenchen